docs: def scatter_plot(self, ax, topic_dims, t=None, ms_limits=True, **kwargs_plot):
          """ 2D or 3D scatter plot.
  
              :param axes ax: matplotlib axes (use Axes3D if 3D data)
  
              :param tuple topic_dims: list of (topic, dims) tuples, where topic is a string and dims is a list of dimensions to be plotted for that topic.
  
              :param int t: time indexes to be plotted
  
              :param dict kwargs_plot: argument to be passed to matplotlib's plot function, e.g. the style of the plotted points 'or'
  
              :param bool ms_limits: if set to True, automatically set axes boundaries to the sensorimotor boundaries (default: True)
          """
          plot_specs = {'marker': 'o', 'linestyle': 'None'}
          plot_specs.update(kwargs_plot)
  
          # t_bound = float('inf')
          # if t is None:
              # for topic, _ in topic_dims:
                  # t_bound = min(t_bound, self.counts[topic])
              # t = range(t_bound)
          # data = self.pack(topic_dims, t)
          data = self.data_t(topic_dims, t)
  
          ax.plot(*(data.T), **plot_specs)
          if ms_limits:
              ax.axis(self.axes_limits(topic_dims))